23 post-doc-computer-vision PhD positions at Queensland University of Technology in Australia
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to work with a team of leading researchers, to undertake your own innovative research in and across the field. Eligibility To apply for this scholarship, you must meet the entry requirements for a Doctor of
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Healthcare Cover (Single only) for international students during their doctoral studies. Eligibility Essential You need to meet the entry requirements for QUT's Doctor of Philosophy , including any
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What you'll receive You'll receive a QUT Postgraduate Research Award (QUTPRA) or Research Training Program (RTP) scholarship of $33,637, full-time, tax exempt and indexed annually, for a period of
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the field. Eligibility You need to meet the entry requirements for a QUT Doctor of Philosophy , including any English language requirements. Enrol as a full-time, internal student (unless approval for part
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the field. Eligibility You need to meet the entry requirements for a QUT Doctor of Philosophy , including any English language requirements. Enrol as a full-time, internal student (unless approval for part
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equivalent years of your doctoral studies. Eligibility To be eligible to be considered for this scholarship, you must: be enrolled in, or have submitted an application to enrol in, QUT's Doctor of Philosophy
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the field. Eligibility You need to meet the entry requirements for a QUT Doctor of Philosophy , including any English language requirements. Enrol as a full-time, internal student (unless approval for part
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, to undertake your own innovative research in and across the field. Eligibility To be deemed eligible, you need to meet the following: entry requirements for QUT's Doctor of Philosophy , including any
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researchers, to undertake your own innovative research in and across the field. Eligibility How to apply Apply for this scholarship at the same time you apply for admission to a QUT research degree / Doctor
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply